Cheung Wai Chan

Cheung Wai Chan is a postdoctoral researcher at the Faculty of Engineering, Vrije Universiteit Brussel, specializing in Remote Sensing, Machine Learning, and GIS. He contributes to applied research projects addressing climate change, agricultural development, and biomedical technologies.

• Expertise: Remote sensing, superresolution enhancement, land-cover classification, and deep learning applications.
• Projects: Involved in initiatives like GEAR (health technology), Tech4Health (image quality), and EUPOM112 (climate change education).

Research Trends: His recent publications focus on hyperspectral image super-resolution, infrared-visible image fusion, and dark matter analysis, leveraging tensor networks and deep learning for environmental and biomedical challenges.

Activities: Participated in SPIE conferences, served on peer-review panels for journals like Remote Sensing of Environment, and collaborated internationally on projects involving Armenia, Kyrgyzstan, and Sub-Saharan Africa.

Metrics: Accumulates 5201 citations (Scopus) with an h-index of 37, reflecting significant impact in remote sensing and computational methods.